Triple
T19908237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yona Wallach |
E478475
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yona Wallach |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yona Wallach | Statement: [Yona Wallach, name, Yona Wallach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yona Wallach Context triple: [Yona Wallach, name, Yona Wallach]
-
A.
Yona Wallach
chosen
Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
-
B.
Ayelet Zurer
Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
-
C.
Yael Grobglas
Yael Grobglas is an Israeli-French actress best known for her role as Petra Solano on the television series "Jane the Virgin."
-
D.
Yael Cohen
Yael Cohen is a South African–born Canadian entrepreneur and philanthropist best known as the founder of the cancer support organization "Fuck Cancer."
-
E.
Tamar Shalev
Tamar Shalev is known as the wife of the late Israeli author and columnist Meir Shalev.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598d91ac8190be6abdd7d1542aec |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:52 p.m.